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Morgan Stanley

Data Quality Associate – Finance Data Governance

Morgan Stanley is hiring a Data Quality Associate – Finance Data Governance in Budapest, Hungary. Level rates it ; you can apply on Level.

Level's read on this job

  • Little AI ●○○○ is how Level rates this finance role: aI is not part of the work.
  • Level files it as a junior role.
  • Level lists 1,200+ other open roles at Morgan Stanley.
  • The role was posted in the last few days.

AI in this role

We're seeking someone to join our Finance Data Governance team as a Data Quality Associate.

 

Be part of a global Finance Data team that helps ensure the quality, integrity, and effective governance of critical financial data. You will support the enhancement of data management practices across the Firm, with a focus on data quality, governance, issue management, and controls. The role offers the opportunity to work closely with colleagues across Finance and key business areas, including Operations, Institutional Securities, Firm Risk, Wealth Management, and Technology, while contributing to meaningful improvements in data quality and regulatory readiness.

 

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

 



What you’ll do in the role:

  • Support the Capital Data Governance Council, working with senior stakeholders responsible for overseeing data-related activities impacting capital.
  • Investigate data quality issues by conducting root cause analysis and identifying drivers of data inconsistencies.
  • Manage data issues throughout their lifecycle, including tracking, metadata maintenance, status updates, remediation follow-up, and reporting.
  • Collaborate with colleagues across Finance and the wider Firm to support timely resolution of data quality matters.
  • Contribute to key team deliverables and projects, applying your knowledge of Finance processes, data governance, and regulatory expectations.
  • Prepare clear, high-quality materials for internal governance forums and senior management discussions.
  • Analyse datasets using spreadsheets and other tools, summarizing key findings and presenting actionable insights.
  • Support compliance with Firmwide and regulatory data quality standards, helping ensure processes are aligned with internal policies and control expectations.
  • Document internal processes and controls, while identifying opportunities to improve data quality, efficiency, and transparency.
  • Promote a strong risk and control mindset, proactively identifying opportunities to reduce risk in day-to-day work.
  • Act as a role model for Firm values, demonstrating accountability, collaboration, integrity, and excellence.

 


 

What you’ll bring to the role:

  • 2+ years of professional experience, preferably in Finance, Data Governance, Data Quality, Risk, Regulatory Reporting, Operations, or a related area.
  • Experience with Data Quality Management and/or metadata management.
  • Understanding of Data Quality controls, rules, and issue management processes.
  • Strong skills in root cause analysis and problem-solving.
  • Working knowledge of Data Governance principles.
  • Knowledge of financial products and regulatory reporting; experience with capital calculation or capital reporting is an advantage.
  • Strong written and verbal communication skills, with the ability to tailor messages to different audiences, including senior stakeholders.
  • Strong attention to detail and ability to work with structured processes and documentation.
  • Confident user of Microsoft Excel and PowerPoint.
  • Awareness of data warehousing principles; experience with databases and SQL queries is preferred.
  • Proactive, collaborative mindset and willingness to work with global teams.

 

 


Why join us:

  • Work in a global Finance Data Governance team with exposure to senior stakeholders.
  • Contribute to processes that support the Firm’s capital data quality, governance, and regulatory readiness.
  • Build expertise in data quality, issue management, controls, and regulatory reporting.
  • Collaborate with teams across regions and business areas.
  • Be part of a professional environment that values integrity, accountability, continuous improvement, and teamwork.


#LI-KP1 #BPACC #LI-hybrid

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years.  Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Certified Persons Regulatory Requirements:
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background.  Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

How we rate this

Data Quality Associate – Finance Data Governance at Morgan Stanley rates 37 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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$106k

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